About this role
The Role
- As a Solution Architect, you will lead the architecture and solution design of large-scale technology initiatives spanning multiple systems across the OTT platform ecosystem.
- You will be responsible for translating business and product requirements into scalable, secure, resilient, and maintainable technical solutions that align with the organization's strategic objectives.
- Our culture is highly delivery-focused, and the role extends well beyond producing architecture diagrams and design documentation.
- You will work closely with product, engineering, program management, operations, and external partners throughout the delivery lifecycle, providing hands-on architectural guidance, resolving technical challenges, managing design trade-offs, and ensuring successful implementation of solutions through to production release.
- Lead the architecture and solution design of strategic initiatives across the OTT platform ecosystem, ensuring alignment with business objectives and technology strategy.
- Drive architectural evolution by assessing existing systems, identifying improvement opportunities, and challenging established assumptions and technical constraints, including the pragmatic application of AI-enabled tools and capabilities where they deliver measurable value.
- Own solution delivery from concept through implementation, providing technical leadership, resolving complex challenges, and ensuring successful outcomes.
- Design scalable, secure, resilient, and maintainable solutions, defining both functional and non-functional requirements and producing key architectural artifacts, including requirements for responsible AI use, data privacy, security, observability, and governance where AI capabilities are involved.
- Collaborate with product, engineering, delivery, and business stakeholders to ensure solutions adhere to architectural principles, standards, and best practices.
- Conduct architecture reviews, identify and mitigate technical risks, dependencies, and gaps, and drive continuous quality improvement.
- Support engineering teams throughout delivery with architectural guidance, governance, and decision-making for complex technical issues; promote effective and responsible use of AI-assisted engineering and delivery practices.
- Evaluate emerging technologies, industry trends, and OTT best practices, and relevant AI capabilities to enhance platform capabilities, engineering efficiency, and long-term architectural sustainability.